# transportation Published articles for transportation. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Accelerating Operational Efficiency in Modern Transportation DevFeed: [Accelerating Operational Efficiency in Modern Transportation]() Original publisher: [Read original article]() Author: Emily Kasman Published: 2026-09-17T13:30:51Z Content type: article Language: en Sources: [Cisco Blogs]() Topics: [Cisco](), [Network](), [Critical Infrastructure](), [legacy](), [Low Latency](), [Security](), [observability](), [Resilience]() Tags: [cisco](), [cisco-connected-rail](), [cisco-industrial-ethernet-switches](), [cisco-industrial-routers](), [cisco-industrial-security](), [connected-roadways](), [critical-infrastructure](), [industrial-ai](), [industrial-iot](), [legacy](), [low-latency](), [modernization](), [network](), [observability](), [resilience](), [security](), [transportation]() ### AI overview This Cisco article discusses how transit and roadway agencies can modernize legacy network infrastructure. It presents secure, low-latency connectivity, end-to-end operational visibility, and security-focused architecture as ways to support real-time processing, connected systems, and more resilient transportation operations. ### Source excerpt Learn how Cisco helps transit agencies overcome legacy network bottlenecks with secure, AI-ready connectivity, full visibility, and robust cyber resilience. ## Rail Network Modernization: FRMCS, Sovereignty and the AI Edge DevFeed: [Rail Network Modernization: FRMCS, Sovereignty and the AI Edge]() Original publisher: [Read original article]() Author: Steve Payne Published: 2026-09-15T13:31:46Z Content type: article Language: en Sources: [Cisco Blogs]() Topics: [Network](), [Critical Infrastructure](), [digital sovereignty](), [Resilience](), [Availability](), [Cybersecurity](), [Artificial Intelligence]() Tags: [2026](), [availability](), [cisco](), [cisco-industrial-iot-iiot](), [critical-infrastructure](), [digital-sovereignty](), [end-of-life](), [eu](), [europe](), [industries](), [infrastructure](), [internet-of-things-iot](), [latency](), [modernization](), [network](), [networks](), [nis2](), [resilience](), [systems](), [transportation](), [unified-edge]() ### AI overview Cisco's pre-InnoTrans 2026 perspective examines the modernization of European rail communications from GSM-R to FRMCS. It argues that the transition requires changes to the underlying IP network, including high availability, deterministic latency, cybersecurity, and large-scale automation, while operators address resilience, digital sovereignty, investment, and regulatory requirements. ### Source excerpt Join Cisco at InnoTrans 2026 to explore the next generation of rail networks. Discover how FRMCS, AI edge computing, and digital sovereignty are transforming critical infrastructure into secure, automated systems. ## Canada's next phase of ACA enforcement: Are you ready? DevFeed: [Canada's next phase of ACA enforcement: Are you ready?]() Original publisher: [Read original article]() Author: Glenda Sims Published: 2026-08-20T17:02:15Z Content type: article Language: en Sources: [Deque]() Topics: [Accessibility](), [Web](), [User interface design]() Tags: [aca](), [accessibility](), [accessibility-compliance](), [accessible-canada-act](), [business](), [canada](), [canada-laws](), [compliance](), [public-sector](), [retention](), [training](), [transportation](), [web]() ### AI overview This article explains the next phase of Accessible Canada Act enforcement, including upcoming deadlines for accessibility statements, web pages, training, mobile apps, digital documents, and procurement. It recommends beginning with a self-assessment and documenting technical evidence, retention, barriers, actions, and remaining gaps. ### Source excerpt There's a new deadline looming for the Accessible Canada Act (ACA), and it's a significant one. The work required to meet the new requirements is substantial, and you need to start now if your business is going to safely meet the new deadline. The post Canada's next phase of ACA enforcement: Are you ready? appeared first on Deque. ## Tiny robot boats build floating structures DevFeed: [Tiny robot boats build floating structures]() Original publisher: [Read original article]() Author: Rachel Gordon | MIT CSAIL Published: 2026-07-09T15:50:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Robotics](), [Computer Science and Artificial Intelligence Laboratory (CSAIL)](), [Computer science]() Tags: [alejandro-gonzalez-garcia](), [aquatic-robots](), [architecture](), [artificial-intelligence](), [autonomous-vehicles](), [bioinspiration](), [cities](), [computer-science-and-artificial-intelligence-laboratory-csail](), [computer-science-and-technology](), [daniela-rus](), [electrical-engineering-and-computer-science-eecs](), [fire-ants](), [floatform](), [floating-infrastructure](), [hybrid-coordination](), [infrastructure](), [machine-learning](), [mit-csail](), [mit-eecs](), [mit-schwarzman-college-of-computing](), [mit-sea-grant](), [mit-sea-grant-program](), [mit-senseable-city-lab](), [modular-robotic-boats](), [modular-self-reconfigurable-robots](), [niklas-hagemann](), [nonlinear-hydrodynamics](), [raft](), [research](), [robot-boats](), [robot-self-assembly](), [robotics](), [robots](), [school-of-architecture-and-planning](), [school-of-engineering](), [science](), [self-reconfiguration](), [senseable-city-lab](), [snap](), [swarm](), [swarm-robots](), [tiny](), [transportation](), [ultrasonic-beacon-system](), [urban-studies-and-planning](), [water](), [wei-wang]() ### AI overview MIT researchers developed FloatForm, a swarm of small robotic boats that can assemble into reconfigurable structures on the water and later break apart and reassemble into new configurations with minimal human direction. ### Source excerpt MIT researchers developed FloatForm, a swarm of small aquatic robots that snap together like ants forming a raft, assembling into reconfigurable structures on the water. ## The power of collaboration: How we can reduce traffic congestion DevFeed: [The power of collaboration: How we can reduce traffic congestion]() Original publisher: [Read original article]() Published: 2026-07-07T16:42:08Z Content type: article Language: en Sources: [The latest research from Google]() Topics: [Google](), [Algorithms, Complexity](), [Optimization](), [Routing (disambiguation)](), [App](), [Artificial Intelligence]() Tags: [algorithms](), [algorithms-theory](), [climate-sustainability](), [collaboration](), [data-mining-modeling](), [driving](), [google](), [optimization](), [reduce](), [routing](), [transportation](), [us]() ### AI overview Google Research describes a large-scale routing experiment in 10 major US cities. By guiding a small fraction of trips toward alternative routes, the study reports improved overall traffic conditions, faster driving speeds, and reduced emissions. ### Source excerpt Algorithms & Theory ## How Amazon tracks carbon intensity across its operations DevFeed: [How Amazon tracks carbon intensity across its operations]() Original publisher: [Read original article]() Author: Kerry Constabile Published: 2026-07-01T15:56:42Z Content type: news Language: en Sources: [Amazon Science homepage]() Topics: [amazon](), [data](), [Cloud](), [Routing (disambiguation)]() Tags: [amazon](), [amazon-sustainability-report](), [cloud-services](), [data](), [decarbonization](), [energy](), [operations](), [renewable-energy](), [routing](), [scale](), [sustainability](), [the-climate-pledge](), [transportation]() ### AI overview Amazon describes its use of sector-specific carbon-intensity metrics to track decarbonization across diverse operations. For retail, it measures emissions per unit shipped and reports a 39% reduction from 2019 to the end of 2025, attributing progress to carbon-free energy, routing improvements, lighter packaging, lower-carbon fuels, alternative transportation, and electric vehicles. ### Source excerpt Amazon is developing precise, sector-specific approaches to measuring decarbonization progress -- starting with emissions per unit shipped. ## Predicting Rider Conversion in Sparse Data Environments with Bayesian Trees DevFeed: [Predicting Rider Conversion in Sparse Data Environments with Bayesian Trees]() Original publisher: [Read original article]() Author: Zammit Alban Published: 2026-03-30T14:43:41Z Content type: article Language: en Sources: [Lyft Engineering - Medium]() Topics: [AI, ML & Data Engineering](), [machine learning overfitting](), [Training AI Models](), [Language models]() Tags: [data](), [data-science](), [lyft](), [machine-learning](), [rider](), [ridesharing](), [statistics](), [transportation]() ### AI overview Lyft describes predicting whether a rider will request a ride after viewing a destination, price, and ETA. The article focuses on sparse, high-cardinality contextual data, where standard gradient-boosted-tree models can overfit, and introduces Bayesian trees as indicated by the title. ### Source excerpt At Lyft, understanding how riders go through our user experience is fundamental to operating a healthy marketplace. Specifically, it is important to have a robust model determining if a rider will actually request a ride after entering a destination and viewing a price and ETA. Accurately predicting this decision, that we call conversion, informs countless decisions across our platform. Whether it is to better balance supply and demand, improve user experiences, optimize recommendations and advertisement, understand long-term engagement, decide how to distribute coupons... rider conversion prediction is a central challenge for the Lyft business. However, predicting human behavior at scale is incredibly complex, and the exact same person might well open the app just to check current availability or actually to request a ride after viewing our prices. The contexts under which riders make their conversion decisions are extremely diverse and almost unique to each session. A user's intent changes based on where they are and where they want to go, what time it is, their previous interactions with the platform, current supply-demand market conditions, to cite a few. When we try to model this using standard machine learning approaches, we run into a significant challenge: data sparsity. The Challenge of High Cardinality and Sparsity To accurately predict conversion, we need to slice our data very thinly across many categorical features. Imagine trying to predict the conversion probability for a business traveler leaving the suburbs of Detroit at 4:00 AM on a Tuesday to catch their flight at the airport 30 minutes away. While Lyft has vast amounts of data overall, the amount of data available for that specific intersection of contexts often reveals to be very tiny. Maybe we only have ten examples in history. If we use standard techniques like Gradient Boosted Trees (e.g., LGBM, XGBoost), we encounter severe overfitting. A standard model looking at 10 examples in the training d ## Equipping workers with insights about compensation DevFeed: [Equipping workers with insights about compensation]() Original publisher: [Read original article]() Published: 2026-03-17T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [ChatGPT](), [Artificial Intelligence](), [benchmarking]() Tags: [ai](), [benchmark](), [benchmarking](), [business](), [career](), [chatgpt](), [global-affairs](), [healthcare](), [insights](), [management](), [research](), [sales](), [transportation]() ### AI overview OpenAI research examines how Americans use ChatGPT to understand compensation and reduce the wage information gap. Workers ask for pay calculations, role- and company-specific benchmarks, entrepreneurship guidance, and career insights, with nearly 3 million such messages sent daily on average in the US. ### Source excerpt New research shows Americans send nearly 3 million daily messages to ChatGPT asking about compensation and earnings, helping close the wage information gap. ## NIS2: Understanding key software security requirements DevFeed: [NIS2: Understanding key software security requirements]() Original publisher: [Read original article]() Published: 2025-02-25T00:00:00Z Content type: article Language: en Sources: [Chainguard: Unchained]() Topics: [vulnerability management](), [open-source-security](), [supply-chain-security](), [Cybersecurity](), [Critical Infrastructure](), [Development]() Tags: [compliance](), [cve-management](), [cve-reporting](), [energy](), [eu](), [europe](), [infrastructure](), [manufacturing](), [nis2](), [risk-management](), [sboms](), [secure-software](), [software-supply-chain](), [transportation](), [vulnerability-management]() ### AI overview This article explains how the European Union's NIS2 directive expands software security and vulnerability management requirements, shifts accountability to management and boards, and affects organizations operating in the EU. It discusses software supply chain security, open source development, SBOMs, CVE reporting, risk management, and the workload these requirements may create for security and developer teams. ### Source excerpt The European Union's Network and Information Systems 2 is a compliance framework with strict requirements around vulnerability management. ## Devcon Scholars Returns & Announcing Devcon Week! DevFeed: [Devcon Scholars Returns & Announcing Devcon Week!]() Original publisher: [Read original article]() Author: Devcon Published: 2022-07-20T00:00:00Z Content type: news Language: en Sources: [Ethereum Foundation Blog]() Topics: [Ethereum](), [Hackathon]() Tags: [announce](), [community](), [conference](), [devcon](), [events](), [funding](), [transportation]() ### AI overview The Ethereum Foundation announces the return of the Devcon Scholars Program and introduces Devcon Week in Bogotá. The scholars program will support 50 individuals who cannot attend Devcon without assistance, while Devcon Week will include Ethereum-related events around the official conference dates. ### Source excerpt Queridos Amigos, Yesterday, Wave #01 of Devcon tickets sold out just a few minutes after going online! After two years of anticipation, the whole team awaited this moment with curious suspense. But don't worry, more ticket waves are coming soon. Today we are excited to announce the return...